Low resolution images of four limpet species collected from the Baja California Peninsula, Mexico (January 2024) and from museum collections in California, US

This dataset comprises low resolution JPEG images of four limpet species: <em>Fissurella volcano</em>, <em>Lottia gigantea</em>, <em>Lottia conus</em>, and <em>Lottia strigatella</em>. Specimens were collected along the Baja California peninsula and California, either from the field in January 2024 (Baja specimens only) or from the collections of the Los Angeles County Museum of Natural History (including Baja and California specimens). Shells were photographed against a black background using a Panasonic Lumix DC-G9 camera with an OM SYSTEM 90 mm macro lens and categorised based on their orientation (dorsal or ventral views) and whether they were collected within their respective northern or southern genetic clades. These images were used to test computer vision for identifying cryptic morphological differences between genetically distinct populations as part of the NERC funded Discovery Science Project 'CryptoBioVision: Applying Computer Vision for Cryptic Species Discovery' (NE/X011518/1).

本数据集包含四种帽贝的低分辨率JPEG图像，具体包括：<em>火山裂孔螺（Fissurella volcano）</em>、<em>巨型笠贝（Lottia gigantea）</em>、<em>圆锥笠贝（Lottia conus）</em>以及<em>条纹笠贝（Lottia strigatella）</em>。

标本采集于下加利福尼亚半岛及加利福尼亚州，其中下加利福尼亚半岛的标本仅于2024年1月野外采集，其余标本则取自洛杉矶县自然历史博物馆的馆藏（涵盖下加利福尼亚与加利福尼亚的标本）。

所有贝壳均以黑色为背景进行拍摄，拍摄设备为松下Lumix DC-G9相机搭配OM SYSTEM 90 mm微距镜头，并依据拍摄方位（背视图或腹视图）以及是否采自各自对应的北部或南部遗传支系进行分类。

本数据集的图像被用于测试计算机视觉（Computer Vision）技术，以识别遗传分化种群间的隐蔽形态差异，相关工作属于由NERC资助的发现科学项目"CryptoBioVision：将计算机视觉应用于隐蔽物种发现"（项目编号：NE/X011518/1）。